Dynamical analysis of methicillin-resistant Staphylococcus aureus infection in North Cyprus with optimal control: prevalence and awareness.

The number of Methicillin-resistant Staphylococcus aureus (MRSA) cases in communities and hospitals is on the rise worldwide. In this work, a nonlinear deterministic model for the dynamics of MRSA infection in society was developed to visualize the significance of awareness in interventions that could be applied in the prevention of transmission with and without optimal control. Positivity and uniqueness were verified for the proposed corruption model to identify the level of resolution of infection factors in society.

Fractional order model of MRSA bacterial infection with real data fitting: Computational Analysis and Modeling.

Bacterial infections in the health-care sector and social environments have been linked to the Methicillin-Resistant Staphylococcus aureus (MRSA) infection, a type of bacteria that has remained an international health risk since the 1960s. From mild colonization to a deadly invasive disease with an elevated mortality rate, the illness can present in many different forms. A fractional-order dynamic model of MRSA infection developed using real data for computational and modeling analysis on the north side of Cyprus is presented in this paper.

[Investigation of Leishmania infantum Seroprevalance and Leishmaniasis Knowledge Level in Northern Cyprus].

Leishmaniasis is an infectious disease caused by Leishmania parasites, transmitted by sand flies and common in the Mediterranean region. Cyprus is located in the east of Mediterranean Sea and is considered endemic for Leishmaniasis. In our study, it was aimed to investigate Leishmania infantum IgG seropositivity in healthy volunteers living in different regions of Northern Cyprus and to determine the risk factors for Leishmaniasis and measure the level of public knowledge about the disease.